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  • 21. Kriauciuniene_Jurate_CES_2010

    -15 -10 -5 0 5 10 15 -0.8 -0.6 -0.4 -0.2 0.0 0.2 0.4 0.6 0.8 1.0T, C Q, % Q (1991-2007) Q1(1931-1960) Autumn -40 -30 -20 -10 0 10 20 -0.4 -0.2 0.0 0.2 0.4T, C Q, % Q (1991-2007) Q1(1931-1960) Annual -15 -10 -5 0 5 10 15 20 -20 -15 -10 -5 0 5 10 15 P, % Q, % Q (1991-2007) Q1(1931-1960) Winter -40 -20 0 20 40 60 80 -30 -25 -20 -15 -10 -5 0 5 10 15 P, % Q, % Q (1991-2007) Q1(1931-1960) Spring -20 /media/ces/Kriauciuniene_Jurate_CES_2010.pdf
  • 22. Hare-2011-ParticipatoryModelling

    ; mayo ran d governmen t of cer s F M (si m u lat ion m od el) M F Tabl e2 . Ca te go riz at io n ta bl e fo r th e ex am pl es o fF AB E ap pr o ac he s to pa rt ic ip at o ry m o de llin g. A ce ll in th e ‘ pa rt ic ip at o ry m o de llin g st ag e’ ca n be interprete d in th e fo llo w in g m an n er : w he re th er e is n o st ak eh o ld er in vo lve m en t, N O P is w rit te n . W he re th /media/loftslag/Hare-2011-ParticipatoryModelling.pdf
  • 23. 2012-Refsgaard_etal-uncertainty_climate-change-adaptation-MITI343

    sr el at ed to ag ric ul tu re in D en m ar k Cl im at e ch an ge im pa ct Adaptatio n Typ e o f proble m Conse quenc e Ris k leve l Dom inatin g uncertaint y Optio n Cos t leve l Inten t Actio n Tempora l scop e Spatia l scop e Additiona luncertaint y Sou rc e Natur e Sourc e Natur e In cr ea se d su m m er drought san d highe r w at er re qu ire m en ts caus e by longe rcro p growt h durat io n /media/loftslag/2012-Refsgaard_etal-uncertainty_climate-change-adaptation-MITI343.pdf
  • 24. Statistical Analysis

    ISBN 978-9979-68-238-7. NHP Report No. 50, P. 638-645. Kriauciuniene J. & Kovalenkovienė M. (2008). Dependence of Lithuanian river runoff extremes on atchment area. XII Biennal International Conference. Hydrological extremes in small basins, 18-20 September, 2008, Cracow, Poland. ISBN-978-83-88424-38-0. P.183-186. Kriauciuniene, J., Kovalenkovienë, M., and Meilutytë-Barauskienë D. (2007). Changes /ces/publications/nr/1943
  • 25. Climatic-Change-2012---Personality-type-differences-between-Ph.D.-climate-experts-and-general-public---implications-for-communication

    are organized by self-identified primary research discipline and gender Primary Research Discipline Number (%) E I S N T F P J Biological Sciences 50 (24%) 26 (52%) 24 (48%) 9 (18%) 41 (82%) 22 (44%) 28 (56%) 7 (14%) 43 (86%) Physical Sciences 106 (51%) 56 (53%) 50 (47%) 20 (19%) 86 (81%) 52 (49%) 54 (51%) 29 (27%) 77 (73%) Social Sciences 53 (25%) 31 (58%) 22 (42%) 8 (15%) 45 (85%) 28 (53%) 25 (47 /media/loftslag/Climatic-Change-2012---Personality-type-differences-between-Ph.D.-climate-experts-and-general-public---implications-for-communication.pdf
  • 26. Recent publications

    Oddur Sigurðsson, Óðinn Þórarinsson, Philippe Crochet, Tómas Jóhannesson & Þorsteinn Þorsteinsson (2012). Floods in Iceland. In: Z. W. Kundzewicz (ed), Changes in Flood Risk in Europe. Oxfordshire: IAHS Special Publication 10, 257-276. Hálfdán Ágústsson & Haraldur Ólafsson (2012). The bimodal downslope windstorms at Kvisker. Meteorology and Atmospheric Physics 116(1-2), 27-42, doi:10.1007/s00703 /about-imo/arctic/completed-projects/publications/
  • 27. Wind Energy

    the contiguous USA. 30th Annual Applied Geography Conference, Indianapolis, October 2007. 10 pp. Clausen, N.-E., Lundsager, P., Barthelmie, R., Holttinen, H., Laakso, T. & Pryor, S.C. (2007). Wind Power. In: J. Fenger (Ed.) Impacts of Climate Change on Renewable Energy Sources: Their role in the Nordic energy system, Nord 2007:003, 105-128. Clausen N.E., Pryor S.C., Larsén X.G., Hyvönen R /ces/publications/nr/1944
  • 28. Kjellstrom_Erik_CES_2010

    ANN−10 −5 0 5 10 15 20 delta w (% ) 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17C h a n g e i n g e o s t r o p h i c w i n d s p e e d ( % ) Change in wind over the Baltic Sea in 70 years time at the time of CO2-doubling Chen and Aschberger, 2006 17 CM IP G CM s A need for regional ensemble simulations head2right Changes are uncertain head2right Size and sometimes even sign /media/ces/Kjellstrom_Erik_CES_2010.pdf
  • 29. RaisanenJouni_CES_2010

    not representative of present or future climate conditions? Winter mean T in Helsinki (1961-2008) 1961- 20081961- 1990 Temperature (°C) P r o b a b i l i t y d e n s i t y -12 4 Simplest case: change in mean climate, with no change in the magnitude of variability If variability changes as well, the two tails of the distribution (e.g., warm and cold) will be affected differently. IPCC (2001 /media/ces/RaisanenJouni_CES_2010.pdf
  • 30. PhD_course-Programme_26Aug2011-final

    Christian Refsgaard, GEUS All week AP Adriaan Perrels, FMI All week SK Sigrún Karsldóttir, IMO All week FU Frederik Uldal, University of Copenhagen Logistic support Course material Papers and book chapters - recommended reading Henriksen HJ, Barlebo HC (2008) Reflections on the use of Bayesian belief networks for adaptive management. Journal of Environmental Management, 88, 1025- 1036. doi:10.1016 /media/vedurstofan/PhD_course-Programme_26Aug2011-final.pdf

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